Connect to Amazon S3 Data in RazorSQL

The CData JDBC Driver for Amazon S3 enables standards-based access from third-party tools, from wizards in IDEs to data management and analysis tools. This article shows how to connect to Amazon S3 using wizards in RazorSQL.

Create a JDBC Data Source for Amazon S3 Data

1. Open the RazorSQL application and, in the Connections menu, select Add Connection Profile -> Other -> JDBC.
2. In the Connection Wizard that appears, set the following properties:
   • Driver Location: Set this property to the path to the lib subfolder in the installation directory.
   • Driver Class: Set the driver class to cdata.jdbc.amazons3.AmazonS3Driver.
   • Username: Enter the username. (This property can also be set in the JDBC URL.)
   • Password: Enter the password. (This property can also be set in the JDBC URL.)

   • JDBC URL: Enter connection parameters. The JDBC URL begins with jdbc:amazons3: and is followed by a semicolon-separated list of connection properties.

     To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

     Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

     For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon S3 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.amazons3.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     A typical JDBC URL is the following:

     jdbc:amazons3:AccessKey=a123;SecretKey=s123;

Query Amazon S3 Data and Select Tables

After establishing a connection, the wizard will close and the connection will be available in the connections panel. You can then query the tables.